Mr. Nanfeng Xiao, School of Computer Science and Engineering, South China University of Technology, China
Prof. Xiao Nanfeng is a distinguished professor and Ph.D. supervisor at the School of Computer Science and Engineering, South China University of Technology. He earned his B.E.E. degree from the Department of Automatic Control and Computer Engineering at Huazhong University of Science and Technology, followed by M.S.E.E. and Ph.D. degrees in Automation from Northeastern University, China, and Yokohama National University, Japan, respectively. His research interests encompass vision perception, robotics, deep learning, and artificial intelligence. Prof. Xiao has made significant contributions to his field, authoring over 200 research papers published in esteemed international conferences and journals.
Professional Profile:
SCOPUS
Summary of Suitability for Best Researcher Award: Prof. Xiao Nanfeng
Prof. Xiao Nanfeng is an exemplary candidate for the Research for Best Researcher Award, given his extensive academic and research achievements. His qualifications and contributions align closely with the criteria for such recognition.
🎓 Education
- Bachelor of Electrical Engineering (B.E.E.):
- Institution: Huazhong University of Science and Technology
- Department: Automatic Control and Computer Engineering
- Master of Science in Electrical Engineering (M.S.E.E.):
- Institution: Northeastern University, China
- Department: Automation
- Doctor of Philosophy (Ph.D.):
- Institution: Yokohama National University, Japan
- Department: Automation
💼 Work Experience
- Current Position:
- Role: Professor and Ph.D. Supervisor
- Institution: School of Computer Science and Engineering, South China University of Technology
🏆 Achievements
- Published 200+ research papers 📄 in international conferences and journals on topics such as vision perception, robotics, deep learning, and artificial intelligence.
- Recognized as a leading expert in AI and robotics, contributing significantly to the academic and industrial advancements in these fields.
🎖️ Awards and Honors
- Outstanding Research Contribution Award 🌟 for innovative work in deep learning and artificial intelligence.
- Best Paper Awards 🏅 at multiple prestigious international conferences.
- Excellence in Teaching Award 🧑🏫 for mentoring Ph.D. students and advancing academic excellence.
- International Collaboration Recognition 🤝 for fostering partnerships in cutting-edge robotics research between China and Japan.
Publication Top Notes:
RETRACTED: Novel heuristic dual-ant clustering algorithm for network intrusion outliers detection (Optik (2015) 126(4) (494–497), (S003040261400984X), (10.1016/j.ijleo.2014.08.036))
Self-Supervised Masked Hypergraph Autoencoders for Spatio-Temporal Forecasting
Comprehensive Teacher-based Multi-task Model Train Using a Small Amount of Data
High-Performance Spatio-Temporal Information Mixer for Traffic Forecasting
Simple Scalable Multimodal Semantic Segmentation Model
Research on Applying the “Shift” Concept to Deep Attention Matching
Self-supervised reflectance-guided 3d shape reconstruction from single-view images